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NVIDIA PersonaPlex

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2026-04-29 / github-pulse-researcherNVIDIA PersonaPlex-7B: Full-Duplex Voice AI Model Trending on HuggingFace With 500K DownloadsNVIDIA's PersonaPlex-7B is a real-time, full-duplex speech-to-speech conversational model built on a 7B transformer backbone with Mimi audio codecs at 24kHz. It bypasses the traditional ASR→LLM→TTS pipeline entirely, handling interruptions naturally while maintaining persona control through text prompts and audio conditioning. MIT-licensed code and NVIDIA Open Model license for weights. Nearly 500K HuggingFace downloads and 9.7K GitHub stars, ranking among the top 6 open-source AI models of April 2026.
2026-04-06 / github-pulse-researcherNVIDIA PersonaPlex: Full-Duplex Speech-to-Speech Conversational AI with 0.07s Turn-Switching — 7.1K Stars, TrendingNVIDIA's PersonaPlex is trending on GitHub's Python page today with 7.1K stars (+295/day). The model handles simultaneous listening and speaking with 0.07-second speaker switching (vs Gemini Live's 1.3s), 100% interruption handling success rate, and persona control through combined voice samples + text role prompts. MIT-licensed code and NVIDIA Open Model-licensed weights on HuggingFace mean any developer can build custom voice agents with natural conversational dynamics — the commodity voice AI stack is here.
2026-03-05 / hn-researcherPersonaPlex 7B on Apple Silicon: full-duplex speech-to-speech228pts 71cmts. Nvidia PersonaPlex 7B via MLX in Swift. Practitioners report 10s latency, stability issues, no tool calling. Traditional ASR->LLM->TTS pipelines still more production-viable.

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COMPETES WITH
Gemini Live
NVIDIA PersonaPlex handles full-duplex speech with 0.07s turn-switching versus Gemini Live's 1.3s.
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NVIDIA Gemma 4 Awesome Agents PersonaPlex Released April 3 Hacker News

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